5 results about "Master equation" patented technology

Embodiments of the present application provide a double quantum dot model simulation method and device, electronic equipment and storage medium. The scheme is as follows: a double quantum dot model is constructed as a to-be-simulated model; a Hamiltonian including a first energy is generated according to a performance parameter of the to-be-simulated model, wherein the first energy is a tunneling energy between electrons in the to-be-simulated model due to the spin-orbit coupling effect when the left and right quantum dots have opposite spins; based on the Hamiltonian, a target tunneling coefficient between source-drain electrodes and the left and right quantum dots in the to-be-simulated model is calculated; a target function relationship indicating a current in the to-be-simulated model is determined according to the target tunneling coefficient and a preset master equation, and the preset master equation is used to describe the dynamic change of the electron or hole distribution corresponding to the tunneling process in the to-be-simulated model; and the to-be-simulated model is simulated for drain current according to the target function relationship. Through the technical scheme provided by the embodiments of the present application, the drain current simulation of the double quantum dot model can be realized.

The invention provides a method and a quantum characterisation unit that (i) prepares the quantum system in at least two (preferably three or more) distinct dynamical configurations, each describable by its own stochastic master equation (SME) but sharing a subset of physical parameters; (ii) records continuous detector signals, bins or filters them, and computes low order correlation functions (one, two, three point, optionally higher order) from repeated measurements; and (iii) jointly fits simulated correlation functions — generated directly from the SME without trajectory sampling — to the experimentally obtained ones, using a least squares (or similar) optimisation to assign values to the shared parameters. The method exploits the fact that different configurations break parameter degeneracies that would be hidden in a single configuration.

The application is a method and device for regulating negative differential conductance, comprising: obtaining a total Hamiltonian of a double-mode quantum optical field coupled with a double quantum dot system; adopting quantumization processing for the interaction between the optical field and the quantum dot; processing the electron-photon coupling term in the total Hamiltonian through canonical transformation, obtaining the reduced density matrix of the system by tracing the electron reservoir and the degree of freedom of the optical field, and obtaining the master equation by using the Born-Markov approximation; obtaining the rate and current equations through the master equation, and solving to obtain the steady-state current expression; regulating the coupling strength of the double-mode quantum state optical field and the double quantum dot system through the steady-state current expression to realize the regulation of the negative differential conductance effect; without complex adjustment of the structure of the mesoscopic quantum dot system, the complexity and cost of constructing a device based on the negative differential conductance effect are reduced, and the design and implementation of the negative differential conductance device are facilitated.

The application discloses a kind of machine learning methods based on physical observation analog quantum computing system error, belong to involve quantum computing field, including: step 1: from the one-dimensional p wave topological superconductor of belonging to BDI symmetry class constructs minimum extensible 2-MZM island;Step 2: according to the minimum extensible 2-MZM island established, the ground state hamiltonian of island is obtained;Step 3: in minimum extensible 2-MZM island, the hamiltonian of the interaction of boson heat bath is obtained by introducing boson heat bath interaction;Step 4: the state of minimum extensible 2-MZM island is described with time t changes by Pauli master equation;Step 5: the probability of different errors is obtained by using standard dwell time monte carlo algorithm to simulate Pauli master equation;Step 6: the final state probability of the i th MC event is predicted on minimum extensible 2-MZM island by training machine learning model through monte carlo event.This method can effectively predict error probability in the minimum extensible range, significantly improve efficiency.

The application discloses a quantum physics twin method and system, the method comprises the following steps: measuring a completely closed microcosmic dynamics system to be researched, obtaining a digitized initial state of the microcosmic dynamics system described by a density matrix; for a Markov approximation case, adopting a lindblad master equation to describe evolution of the microcosmic dynamics system based on the initial state, obtaining a result state of the microcosmic dynamics system; and applying the initial state and the result state. The application proposes a quantum physics twin system corresponding to a microcosmic system, and the idea of twinning is used to research dynamic processes in microcosmic systems such as quantum optics, quantum biology and quantum statistical mechanics in a digital world, the microcosmic system is researched as a digital model, and application of the microcosmic system is considered.